EP0806739A3 - Face recognition using dct-based feature vectors - Google Patents

Face recognition using dct-based feature vectors Download PDF

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Publication number
EP0806739A3
EP0806739A3 EP97302939A EP97302939A EP0806739A3 EP 0806739 A3 EP0806739 A3 EP 0806739A3 EP 97302939 A EP97302939 A EP 97302939A EP 97302939 A EP97302939 A EP 97302939A EP 0806739 A3 EP0806739 A3 EP 0806739A3
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EP
European Patent Office
Prior art keywords
given object
coding
codebooks
blocks
objects
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP97302939A
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German (de)
French (fr)
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EP0806739A2 (en
EP0806739B1 (en
Inventor
Christine Irene Podilchuk
Xiaoyu Zhang
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Nokia of America Corp
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Lucent Technologies Inc
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Publication of EP0806739A2 publication Critical patent/EP0806739A2/en
Publication of EP0806739A3 publication Critical patent/EP0806739A3/en
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Publication of EP0806739B1 publication Critical patent/EP0806739B1/en
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Expired - Lifetime legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/007—Transform coding, e.g. discrete cosine transform
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Discrete Mathematics (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Collating Specific Patterns (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

A method and apparatus for recognition of objects such as faces in images using signal compression techniques (i.e., coding techniques) in which a portion of the image which includes the object to be recognized (e.g., the face) is coded, and the resultant coded data is matched against previously coded and stored training data which makes up a known object database. A given object in an input image signal is matched to one of a plurality of known objects stored in a database, wherein the stored representation of each of the known objects comprises a codebook generated based on training image signals comprising the known object. A first illustrative embodiment comprises the steps of decomposing the given object into blocks; performing a plurality of encodings of the given object, each encoding comprising coding the object with use of one of the codebooks; determining a coding error for each encoding; and matching the given object to one of the known object based on the coding errors. A second illustrative embodiment comprises the steps of decomposing the given object into blocks; generating a codebook corresponding to the given object based on the blocks; comparing the codebook corresponding to the given object with the codebooks corresponding to each of the known objects; and matching the given object to one of the known objects based on the comparison of the codebooks.
EP97302939A 1996-05-06 1997-04-30 Face recognition using dct-based feature vectors Expired - Lifetime EP0806739B1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US643685 1996-05-06
US08/643,685 US5802208A (en) 1996-05-06 1996-05-06 Face recognition using DCT-based feature vectors

Publications (3)

Publication Number Publication Date
EP0806739A2 EP0806739A2 (en) 1997-11-12
EP0806739A3 true EP0806739A3 (en) 1999-01-20
EP0806739B1 EP0806739B1 (en) 2003-01-22

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EP97302939A Expired - Lifetime EP0806739B1 (en) 1996-05-06 1997-04-30 Face recognition using dct-based feature vectors

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US (1) US5802208A (en)
EP (1) EP0806739B1 (en)
JP (1) JP3649311B2 (en)
DE (1) DE69718553T2 (en)

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Publication number Publication date
EP0806739A2 (en) 1997-11-12
JP3649311B2 (en) 2005-05-18
DE69718553D1 (en) 2003-02-27
DE69718553T2 (en) 2003-08-14
US5802208A (en) 1998-09-01
EP0806739B1 (en) 2003-01-22
JPH1055444A (en) 1998-02-24

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